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Starred repositories
Simulate patients with rare genetic conditions
Graph algorithms written in GraphBLAS
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
The only open-source toolkit that can download SEC EDGAR financial reports and extract textual data from specific item sections into nice & clean structured JSON files. Presented at WWW 2025 @ Sydn…
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @…
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A game theoretic approach to explain the output of any machine learning model.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
A curated list of network embedding techniques.
System for Medical Concept Extraction and Linking
Minimal and clean examples of machine learning algorithms implementations
Keshif - Data Made Explorable (Prototype)